Gender, age, disabilities, chronic diseases (if individuals, associations members, etc.);
Head of household gender, age, disabilities, chronic diseases, dependency ratio (if households), and any other relevant criteria, such as urban/rural, religious, ethnic or political identities;
Wealth groups; Livelihoods group (e.g. pastoralist, farmers, traders)
Period to achieve the objective;
Direction of change:
Both secondary and primary data collection can be used according to context.
- Baseline/Endline. If multiyear programme consider also a mid-term evaluation.
- Secondary data. Reliable/relevant sources from other actors, clusters or government (e.g. assessment information, reference to a normal situation).
Unit of Measurement: Population, but can also be households or productive organizations, or MSME. If percentage:
- Numerator: Number of targeted population that have diversified their sources of income.
- Denominator: Total number of targeted population
Data Collection methods:
Secondary data analysis;
Income records (MSME, productive organization);
Households Survey, Focus Group Discussions;
Key Informant Interviews.
Commonly measuring changes in type and diversity of income sources, and proportion towards the overall income of the household.
Data collection should show the increase of household incomes due to the diversification of the income generation sources.
[primary production] Consider seasonal calendar to determine when to measure the indicator (e.g. main harvest, pests and diseases prevalence depending on the period.)
Consider market price and labour wages according to season variations throughout the year.
Link the increase of incomes (if so) with the new sources of incomes.
Take into consideration that measurement difficulty depends on the income generation activity.